JP2012108916A5

JP2012108916A5 -

Info

Publication number: JP2012108916A5
Application number: JP2011250398A
Authority: JP
Filing date: 2011-11-16
Publication date: 2014-12-18

Claims

A method for measuring advertising effectiveness in a system in which a user at a plurality of nodes uses a computer device to initiate a message flowing between at least one of the plurality of nodes, the method comprising:
Monitoring at least one aggregate activity stream representing one or more messages sent by the set of users forming a statistical group for which the advertising effectiveness is to be measured after a broadcast advertisement broadcast time;
Filtering the at least one aggregate activity stream to identify messages that are believed to be responses to the broadcast advertisement;
Classifying the identified messages into a plurality of groups and classifying the identified messages into groups based on at least a portion of a word pattern or phrase associated with the author;
Identifying demographics for each of the plurality of groups and respective demographics;
Identifying a preference based on the identified message in one or more groups corresponding to the artificial statistics;
A method comprising the steps of:

The steps to monitor are
Monitoring at least one social network after the broadcast time, or monitoring at least one search engine query stream after the broadcast time, wherein the at least one aggregate activity stream includes the at least one social network Monitoring and identifying messages in social net traffic, or monitoring the at least one search engine query stream and including messages that are identified search queries;
The method according to claim 1.

The at least one aggregate activity stream includes a message that is a search query, and monitoring includes monitoring at least one search engine query stream after the broadcast time. the method of.

Filtering the at least one aggregated activity stream to identify messages that are believed to be a response to the broadcast advertisement;
Identifying a start time of a message of the plurality of messages;
Filtering such messages if the start time of such messages is before the broadcast time;
The method of claim 1, comprising:

An ad management system,
A server for monitoring at least one aggregated activity stream after the broadcast time of the broadcast advertisement, wherein the aggregated activity stream is transmitted by said set of users forming a statistical group for measuring advertising effectiveness; Steps representing further messages,
A message type analyzer that analyzes the monitored user messages and filters at least one aggregate activity stream, wherein the message type analyzer is configured to classify the identified messages into a plurality of groups, the identified messages Classifying the identified message into a group based at least in part on a word pattern or phrase associated with the author;
A message demographic analyzer for identifying each demographic into a plurality of groups and a respective artificial statistic, the preference based on messages identified in one or more groups corresponding to the demographic; Identifying a weight value to be assigned to the identified message in the or more groups;
An advertisement management system comprising:

6. The advertisement management system of claim 5, wherein the broadcast advertisement is an advertisement transmitted via one or more of television, radio, bulletin board, and / or internet advertisement medium.

6. The advertisement management system of claim 5, wherein the user message includes a social media message, a search query, a request for one or more web assets, or a combination thereof.

The request for the one or more web assets includes a request for a web asset identified by a URL stored in a monitored URL list, and at least one of the monitored URLs has previously been The advertisement management system of claim 7, wherein the advertisement management system is associated with at least one of the broadcast messages.

The previously broadcast message is an advertisement about a movie, and the URL list to be monitored includes a URL of a web page containing information material, promotional material, or a trailer associated with the movie advertisement The advertisement management system according to claim 8.

The message demographic analyzer is configured to analyze a message;
6. The advertisement management system according to claim 5, wherein at least the demographic information of the message is estimated or specified based on the content of the message.

The message type analyzer is configured to analyze a message and at least infer or identify which message is from which of a plurality of source classes, whether the content of the message or the header of the message 6. The advertisement management system according to claim 5, wherein the source class of the message is specified from either or both.

Filtering includes identifying which messages are from mechanical sources and which messages are from non-mechanical sources, which are computer-automated and non-mechanical 6. The advertisement management system of claim 5, wherein the source is a source including a human response or response to a broadcast advertisement.

Means for assigning a first weight value to the identified message from a mechanical source and assigning a second weight value to the identified message from a non-mechanical source; The advertisement management system according to claim 12, wherein the first weight value is smaller than the second weight value.

The advertisement management system of claim 13, wherein the preference is further specified based on the weight value assigned to the identified message in one or more groups.

Filtering the at least one aggregate activity stream includes identifying which messages are from mechanical sources and which messages are from non-mechanical sources, which are automated by the computer The method of claim 1, wherein the non-mechanical source is a source that includes a human response or response to a broadcast advertisement.

Further comprising assigning a first weight value to the identified message from a mechanical source and assigning a second weight value to the identified message from a non-mechanical source, 16. The method of claim 15, wherein the weight value of is less than the second weight value.

The method of claim 16, wherein the preference is further specified based on the weight value assigned to the identified message in the one or more groups.